Floods are on the increase as an unfortunate side-effect of climate change. Assessing flood risk using the right GIS software & spatial data can help governments, environmental agencies & insurance companies to improve prevention, early warning mechanisms & mitigation efforts using predictive analytics. Whether it’s sophisticated Data Science workflows in Python, or web applications to share insights with decision-makers - our platform can help.
Sources of air contamination are often difficult to monitor. GIS systems can be used to track EPA regulated pollutant emissions by delineating the effects of ozone, smog, dust, and other harmful airborne pollutants on plant and human life. Using spatial analysis, you can identify impacted areas, locate pollutant sources & predict change over time - allowing location data to inform policy relating to traffic, manufacturing & logistics.
Monitoring & analyzing forest fires in real-time is fundamental in order to reduce the social & economic impact of such natural disasters. Using spatial data streams such as satellite imagery through our Data Observatory, you can visualize active fire perimeters & smoke density levels, providing vital information to rescue agencies, governments, citizens & other organizations.
Whether it is water usage patterns or modelling to display the characteristics of drainage systems, GIS is crucial to analyze & monitor wastewater collection systems. Spatial analysis helps you to locate and improve facilities location taking into account regulation & standards for urban planners, cities management & environmental engineers.